主講人： Prof. Tzu-Hsiung Yang (Department of Chemistry, National Tsing Hua University)

題目：Deep Generative Models: A New Method for Molecular Discovery

時間：111年11月24日(四) 18:00                            

報名網址： https://forms.gle/9XQzYREPA6svrocz8

報名截止時間 ：111年11月24日中午12點止

報告語言: 英文

大綱:

Deep generative models have emerged as a promising way for molecular discovery. They have shown great potential in designing molecules such as organic photovoltaics and drug-like molecules. In this talk, I will first go through a review on the developments of machine learning and deep learning for chemical applications, with the emphasis on their involvement in molecular generation via deep generative models (DGMs). I will then review state-of-the-art DGMs such as variational autoencoder (VAE), generative adversarial network (GAN), recurrent neural network (RNN), and flow. Lastly, I will go through our recent work on applying VAE models to discover optoelectronic materials.